2022 EDSIG Proceedings: Abstract Presentation

A Systematic Review of Affordable Homeownership using Data Science Methods

Bharani Kothareddy
University of North Florida

Karthikeyan Umapathy
University of North Florida

Interest in the global unaffordable housing dilemma is manifest in its growing publications. However, there is a limited systematic review of the literature concerning data science approaches to address the social issues of owning affordable homes through Housing and Urban Development (HUD) programs. The systematic literature review was performed using Google Scholar and followed the phases prescribed in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This study synthesizes data sources, tools, analytical approaches, and theoretical frameworks from the literature on affordable housing issues using data science methods. Our findings indicate that researchers have approached the issue completely differently from each other, with census data and usage of mapping visualizations as being a common trend.

Saturday at 11:35 am